Predicting Banking Crises with Artificial Neural Networks: The Role of Nonlinearity and Heterogeneity
Author:
Affiliation:
1. University of Turku FI‐20014Turku Finland
Publisher
Wiley
Subject
Economics and Econometrics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjoe.12216
Reference36 articles.
1. Alessi L.andDetken C.(2009) ‘Real Time’ Early Warning Indicators for Costly Asset Price Boom/Bust Cycles: A Role for Global Liquidity Working Paper Series 1039 European Central Bank.
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3. Predicting currency crises:
4. Towards a new early warning system of financial crises
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